The SCIN Antibody, HRP conjugated, is a polyclonal primary antibody derived from rabbit, specifically engineered to target the scinderin (SCIN) protein in human tissues. SCIN, a calcium-binding protein, plays roles in signal transduction and cytoskeletal dynamics . The antibody is covalently linked to horseradish peroxidase (HRP), an enzyme that catalyzes oxidative reactions, enabling chemiluminescent, colorimetric, or fluorescent detection in assays .
Target: SCIN (human, with cross-reactivity to mouse and rat )
Conjugate: HRP (eliminates need for secondary antibodies in detection )
Applications: ELISA, Western blot, immunohistochemistry (IHC)
The SCIN Antibody, HRP conjugated, streamlines detection workflows by integrating the primary antibody and enzyme in a single reagent.
Directly detects SCIN in antigen-coated wells, producing a chromogenic or chemiluminescent signal .
Example: A study using this antibody achieved high specificity in ELISA for SCIN quantification .
Detects SCIN at ~80 kDa in lysates from human tissues (e.g., kidney, pancreas) .
Protocol: 1/1000 dilution in 5% NFDM/TBST buffer, followed by chemiluminescent substrate .
Visualizes SCIN in paraffin-embedded tissues (e.g., clear cell carcinoma of kidney) using HRP-based chromogenic substrates (e.g., DAB) .
Heat-mediated antigen retrieval (Tris/EDTA buffer pH 9.0) is recommended for optimal staining .
Conjugated HRP enables sensitive detection of low-abundance SCIN, as demonstrated in immunoblotting and IHC .
In comparative studies, HRP-conjugated primaries reduced background noise compared to secondary antibody systems .
Exhibits minimal cross-reactivity due to rabbit host species and stringent purification (>95% via Protein G) .
Validated for human, mouse, and rat SCIN, with cited reactivity confirmed in Western blot and IHC .
Signal Enhancement: Integration with tyramide-based amplification systems (e.g., TSA) could further boost sensitivity for low-abundance SCIN detection .
Multiplexing: Development of fluorescent-conjugated variants (e.g., Alexa Fluor) for simultaneous detection of SCIN with other markers .
Thermo Fisher Scientific. (n.d.). HRP-Conjugated Secondary Antibodies.
PMC. (2016). Recombinant Secondary Antibody Mimic as a Target-specific Signal Amplifier.
AFG Scientific. (2020). SCIN Antibody, HRP conjugated.
Abcam. (2022). Anti-SCIN antibody [EPR16310].
PMC. (2011). Tyramide-HRP Signal Amplification in Immunohistochemistry.
PMC. (2011). Recombinant Production of HRP Conjugates.
Nature. (2013). Bispecific Antibody Coupled with HRP for Immunoblotting.
Santa Cruz Biotechnology. (n.d.). ImmunoCruz Antibody Conjugates.
Proteintech. (2025). SCIN Antibody (11579-1-AP).
PMC. (2018). Immunohistochemistry in Investigative Pathology.
SCIN (scinderin) is a calcium-dependent actin-severing protein with a calculated molecular weight of approximately 81 kDa and an observed molecular weight of around 80 kDa in laboratory conditions. This protein plays crucial roles in actin cytoskeleton remodeling, particularly in secretory processes. SCIN contains multiple domains that respond to calcium fluctuations, triggering conformational changes that allow the protein to bind and sever actin filaments, thereby regulating cell morphology and secretory function. Recent research has implicated SCIN in synaptic proteomics studies related to cognitive changes and C9ORF72 repeat expansion in ALS cortex .
SCIN antibodies can be utilized across multiple experimental platforms with varying recommended dilutions:
| Application | Dilution Range | Validated Samples |
|---|---|---|
| Western Blot (WB) | 1:500-1:2000 | Human placenta tissue |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate | Human placenta tissue |
| Immunohistochemistry (IHC) | 1:20-1:200 | Human pancreas cancer tissue |
| Immunofluorescence (IF/ICC) | 1:200-1:800 | HepG2 cells |
The optimal dilution should be determined empirically for each experimental system as results can be sample-dependent . For secondary detection of SCIN antibodies, HRP-conjugated secondary antibodies compatible with the host species of the primary antibody (e.g., anti-rabbit IgG HRP conjugate for rabbit-derived SCIN antibodies) are commonly employed.
HRP (Horseradish Peroxidase) conjugation to secondary antibodies provides significant signal amplification advantages in detection workflows. When a primary antibody like anti-SCIN binds to its target protein, HRP-conjugated secondary antibodies bind to the primary antibody. The HRP enzyme then catalyzes a reaction with chemiluminescent substrates, producing detectable light that can be captured on film or by digital imaging systems . This enzymatic amplification significantly enhances sensitivity compared to direct detection methods, enabling visualization of low-abundance proteins that might otherwise remain undetectable. The signal enhancement occurs because each HRP molecule can catalyze multiple substrate reactions, creating an amplification cascade that increases detection sensitivity .
When designing experiments involving SCIN antibody detection, researchers should carefully evaluate several critical factors:
Host species compatibility: The secondary antibody must recognize the host species of the primary SCIN antibody. For example, if using a rabbit-derived SCIN antibody (like 11579-1-AP), an anti-rabbit IgG secondary antibody is required .
Application-specific requirements: Different applications require different secondary antibody properties:
Cross-reactivity concerns: Consider using cross-adsorbed (min X) secondary antibodies to minimize non-specific binding, especially in multi-labeling experiments or when working with samples containing related immunoglobulins .
Detection sensitivity requirements: For low-abundance proteins, signal amplification strategies may be necessary, such as using biotinylated secondary antibodies followed by HRP-conjugated streptavidin to enhance detection .
Experimental controls: Include appropriate negative controls (omitting primary antibody) and positive controls (known positive samples) to validate specificity and performance .
Optimizing Western blot protocols for SCIN detection using HRP-conjugated secondary antibodies requires methodical adjustment of several parameters:
Primary antibody concentration: Begin with the manufacturer's recommended dilution range (1:500-1:2000 for SCIN antibody 11579-1-AP) . Perform a titration experiment to determine the optimal concentration that maximizes specific signal while minimizing background.
Blocking conditions: Test different blocking agents (BSA, non-fat dry milk, commercial blockers) to identify which provides the best signal-to-noise ratio for your specific sample type and antibodies.
Secondary antibody dilution: Typically start with 1:1000 to 1:5000 dilutions for HRP-conjugated secondary antibodies. The optimal dilution depends on the sensitivity of your detection system and the abundance of your target protein .
Incubation parameters: Evaluate different incubation times and temperatures:
Primary antibody: 1-2 hours at room temperature vs. overnight at 4°C
Secondary antibody: 30-60 minutes at room temperature
Washing stringency: Optimize wash buffer composition (PBS or TBS, with varying concentrations of Tween-20) and washing duration to remove unbound antibodies without disrupting specific interactions.
Detection system selection: Choose an appropriate chemiluminescent substrate based on the expected abundance of SCIN in your samples. Enhanced chemiluminescent (ECL) substrates with varying sensitivities are available for different detection ranges .
Exposure optimization: When using film-based detection, test multiple exposure times to capture optimal signal without saturation. For digital imaging systems, optimize integration times and gain settings accordingly.
Incorporating SCIN antibody detection into multiplexed immunoassays requires strategic planning to avoid cross-reactivity and signal interference:
Sequential immunolabeling: For co-detection of SCIN with other proteins, consider sequential labeling protocols that employ:
Primary antibodies from different host species (e.g., rabbit anti-SCIN with mouse anti-target B)
Host-specific secondary antibodies with distinct detection modalities (e.g., HRP for one target and fluorophore for another)
Complete blocking between sequential rounds of labeling to prevent cross-reactivity
Spectral separation strategies: When using fluorescent detection systems, select fluorophores with minimal spectral overlap:
Tyramide signal amplification (TSA): This technique can be employed with HRP-conjugated antibodies to significantly enhance detection sensitivity while enabling multiplexing:
Validation controls: Include single-stained controls to verify specificity and multiplex controls to confirm absence of unexpected cross-reactivity or signal bleed-through between detection channels .
When encountering non-specific binding issues in SCIN antibody experiments, systematic troubleshooting approaches should address multiple potential causes:
Antibody validation verification:
Sample preparation optimization:
Blocking enhancement strategies:
Test different blocking agents (BSA, casein, commercial formulations)
Incorporate carrier proteins (e.g., normal serum matching secondary antibody species)
Consider pre-adsorption of secondary antibodies with sample proteins
Secondary antibody selection refinement:
Use highly cross-adsorbed secondary antibodies specifically designed to minimize cross-reactivity
For tissue samples with endogenous immunoglobulins, consider using F(ab')₂ fragments of secondary antibodies to avoid binding to endogenous Fc receptors
When working with mouse tissues and mouse primary antibodies, use anti-mouse IgG specifically designed to minimize reactivity with endogenous mouse immunoglobulins
Signal-to-noise optimization:
Implement more stringent washing procedures (increased frequency, duration, or detergent concentration)
Reduce primary and secondary antibody concentrations
Incorporate additional blocking steps between primary and secondary antibody incubations
Optimizing immunoprecipitation (IP) experiments with SCIN antibodies requires attention to multiple technical factors:
Antibody selection and concentration:
Lysis buffer optimization:
For membrane-associated proteins like SCIN, use lysis buffers containing appropriate detergents (e.g., NP-40, Triton X-100) at concentrations that maintain protein-protein interactions of interest
Include protease inhibitors to prevent degradation during extraction and IP procedures
Bead selection considerations:
Protein A/G beads work well for most rabbit IgG antibodies like SCIN antibody 11579-1-AP
Pre-clear lysates with beads alone before adding antibody to reduce non-specific binding
Consider magnetic beads for gentler handling compared to centrifugation-based protocols
Washing strategy development:
Implement a gradient washing approach with decreasing detergent concentrations
Optimize wash buffer stringency to remove non-specific interactions while preserving specific antibody-SCIN complexes
Determine optimal number of washes through empirical testing
Elution method selection:
For Western blot analysis, direct elution in SDS sample buffer at 95°C is typically effective
For downstream applications requiring native protein, consider gentler elution methods using excess epitope peptide or low pH glycine buffers
Validation approaches:
Include negative controls (non-specific IgG from the same species)
Consider reverse IP validation when possible
Verify successful pulldown by probing for known SCIN interaction partners
Quantitative analysis of SCIN expression using HRP-conjugated detection systems requires careful standardization and methodology:
Sample preparation standardization:
Maintain consistent extraction methods across all experimental groups
Normalize protein loading using multiple housekeeping proteins appropriate for your experimental conditions
Process all samples simultaneously when possible to minimize technical variation
Technical standardization for Western blot quantification:
Determine linear dynamic range of detection for SCIN using dilution series of positive control samples
Include standard curve samples on each blot for inter-blot normalization
Ensure exposure times capture signals within the linear range of detection
Image acquisition optimization:
For chemiluminescence, capture multiple exposures to ensure signal is within linear range
For fluorescent Western blots, calibrate detector settings to avoid pixel saturation
Maintain consistent acquisition parameters across all experimental samples
Data normalization approaches:
Normalize SCIN signal to housekeeping proteins verified to remain constant under your experimental conditions
For tissue sections, normalize to tissue area or cell count depending on the application
Consider using total protein normalization methods (e.g., stain-free technology) as an alternative to housekeeping proteins
Statistical analysis recommendations:
Perform replicate experiments (minimum n=3) to enable statistical analysis
Apply appropriate statistical tests based on data distribution and experimental design
Report effect sizes along with p-values to indicate biological significance
Validation of findings with orthogonal methods:
Confirm Western blot quantification results with immunofluorescence or IHC when possible
Consider correlating protein levels with mRNA expression data
For critical findings, validate with alternative SCIN antibodies or methodologies
Adapting SCIN antibody protocols for super-resolution microscopy requires specific considerations to achieve optimal nanoscale visualization:
Detection system selection:
While HRP-conjugated antibodies are excellent for traditional microscopy, fluorophore-conjugated secondary antibodies are preferred for super-resolution applications
Select fluorophores optimized for the specific super-resolution technique:
Sample preparation refinements:
Use thinner sections (≤10 μm) for tissue samples to minimize out-of-focus signal
For cell cultures, optimize fixation protocols (e.g., testing paraformaldehyde concentrations) to preserve nanoscale structure while maintaining epitope accessibility
Consider using expansion microscopy protocols to physically expand samples for enhanced resolution
Antibody concentration optimization:
Multi-color imaging strategies:
When combining SCIN detection with other targets, select fluorophores with minimal spectral overlap
Implement sequential imaging approaches if crosstalk cannot be eliminated through filter selection
Consider chromatic aberration correction in analysis workflows
Signal amplification considerations:
Traditional HRP-tyramide systems can provide signal enhancement but may compromise resolution
Alternative approaches include using smaller detection probes such as nanobodies or aptamers when available
Secondary F(ab) fragments provide smaller probe size compared to intact IgG antibodies
Recent research has revealed important connections between SCIN and neurodegenerative conditions, opening new avenues for antibody-based investigations:
ALS and frontotemporal dementia research applications:
SCIN has been identified in synaptic proteomics studies related to cognitive changes and C9ORF72 repeat expansion in ALS cortex
Research protocols can employ SCIN antibodies in comparative proteomic analyses between patient and control samples:
Multi-label IF to examine co-localization with other synaptic markers
Quantitative Western blot analysis comparing expression levels across disease stages
IP-MS workflows to identify altered protein interactions in disease states
Synaptic pathology investigation methodologies:
Synaptic dysfunction represents an early feature of many neurodegenerative diseases
SCIN antibodies can be employed in synapse-specific isolation protocols:
Synaptosome preparation followed by immunoblotting
Array tomography combined with SCIN immunolabeling for quantitative synapse analysis
Live imaging of cultured neurons with fluorescently-tagged SCIN antibody fragments
Biomarker development approaches:
Explore SCIN as a potential biomarker using antibody-based detection in:
CSF samples from patients with neurodegenerative conditions
Brain tissue microarrays spanning multiple disease states
Evaluation of SCIN levels in relation to cognitive metrics and disease progression
Therapeutic target evaluation:
Investigate SCIN's potential as a therapeutic target through antibody-mediated approaches:
Function-blocking antibodies to modulate SCIN activity in cellular models
Targeted degradation strategies using antibody-drug conjugates
High-content screening assays employing SCIN antibodies to identify compounds that normalize aberrant expression or localization
Molecular pathophysiology elucidation:
Employ SCIN antibodies to understand disease mechanisms:
Characterize altered post-translational modifications using modification-specific antibodies
Evaluate SCIN in relation to protein aggregation through proximity ligation assays
Investigate SCIN dynamics in response to cellular stressors common in neurodegenerative diseases
When facing weak or absent signals in SCIN antibody experiments with HRP detection, implement this systematic troubleshooting approach:
Sample preparation assessment:
Verify protein extraction efficiency using alternative detection methods
For fixed tissues/cells, optimize fixation duration and epitope retrieval methods
Evaluate protein loading amounts (increase for low-abundance targets)
Check sample integrity through detection of abundant housekeeping proteins
Primary antibody optimization:
Detection system enhancement:
Implement signal amplification through biotin-streptavidin systems:
Select more sensitive chemiluminescent substrates designed for low-abundance proteins
Extend exposure times or increase detector sensitivity settings
For digital imaging systems, employ binning or signal integration
Reduce signal interference:
Evaluate blocking reagents that may mask epitopes (switch from milk to BSA or vice versa)
Test different detergents and concentrations in wash buffers
Reduce washing stringency if epitope-antibody interaction is weak
Filter buffers to remove particulates that can cause uneven background
Positive control inclusion:
High background in SCIN immunohistochemistry with HRP detection systems can be methodically addressed through these targeted approaches:
Endogenous enzyme activity neutralization:
Implement robust peroxidase quenching:
Increase H₂O₂ concentration (up to 3%) and incubation time (15-30 minutes)
Consider dual peroxidase/alkaline phosphatase blocking for tissues with high endogenous activity
Add avidin/biotin blocking steps when using biotin-based detection systems
Include levamisole to block endogenous alkaline phosphatase when using AP detection
Non-specific binding reduction:
Optimize blocking protocols:
Test different blocking solutions (normal serum, BSA, commercial blockers)
Extend blocking time (1-2 hours at room temperature or overnight at 4°C)
Add 0.1-0.3% Triton X-100 to blocking solution to improve penetration
Use secondary antibodies specifically designed to minimize cross-reactivity with tissue components
Antibody optimization:
Washing protocol enhancement:
Increase number and duration of washes
Use PBST or TBST with optimized detergent concentration (0.05-0.1% Tween-20)
Implement background-reducing additives in wash buffers (e.g., 0.1-0.5% BSA)
Ensure thorough washing between all steps
Substrate development control:
Reduce substrate incubation time
Prepare substrate solution immediately before use
Monitor development under microscope and stop reaction at optimal signal-to-noise ratio
Consider alternative chromogens if tissue contains pigments that interfere with standard DAB detection